International Journal of Trend in Scientific Research and Development

Now a days, the architects often prohibit the widths of the columns so that more free space is available and for the good aesthetic look of the building without columns protruding out of the walls and corners. Advances in structural members and techniques to resist lateral forces are generally used now days to pretend more stable and safe structure. Solid structures with non rectangular uncommonly formed flimsy segments discovered as an option in contrast to the above said issue and it is discovered that non rectangular uniquely molded dainty segments performs well basically with all investigation results inside satisfactory cutoff points. In present work with the end goal to contrast fortified solid structure using traditional columns against structure designed with special shaped columns considering seismic loads on G 12 multi story building having plan measurement 63.20 m x 29.50 m is displayed and dissected in ETABS 2018 adaptation coordinated building outline programming. Proportionate static investigation and dynamic reaction range examination are performed on the structure. 

by Bhavya Upadhyay | Dr. Rajeev Singh Parihar | Abhay Kumar Jha "Analysis of a High Rise Structure Using E-Tabs Software" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd47728.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47728/analysis-of-a-high-rise-structure-using-etabs-software/bhavya-upadhyay

ugcapprovedjournalswithlowpublicationfees, conferenceissuepublication

The blockchain typically described as a decentralized system in which transactional or ancient statistics are recorded, stored, and maintained throughout a peer to peer community of personal computers referred to as nodes. Counterfeit drugs are one consequence of such limitations within existing supply chains, which not only has serious adverse impact on human health but also causes severe economic loss to the healthcare industry. Blockchain technology has gained tremendous attention, with an escalating hobby in a plethora of several applications like safe and relaxed healthcare records management. Similarly, blockchain is reforming the traditional healthcare practices to an extra reliable means, in phrases of powerful prognosis and treatment through safe and cosy facts sharing using SHA Hash Generation Algorithm. Within the future, blockchain will be an era that can probably assist in personalized, authentic, and at ease healthcare by means of merging the entire actual time scientific information of a patient's fitness and offering it in an up to date cosy healthcare setup. In this paper, we evaluation each the present and modern day trends inside the subject of healthcare with the aid of imposing blockchain as a model. We also talk the packages of blockchain, at the side of the demanding situations confronted and destiny views. The proposed system executed blockchain implementation in distributed computing surroundings and it gives the automated restoration of invalid chain by using Consensus and Mining Algorithm. In this system, we present a Custom blockchain based approach leveraging smart contracts and decentralized off chain storage for efficient product traceability in the healthcare supply chain. The smart contract guarantees data provenance, eliminates the need for intermediaries and provides a secure, immutable history of transactions to all stakeholders. We present the system architecture and detailed algorithms that govern the working principles of our proposed solution. We perform testing and validation, and present cost and security analysis of the system to evaluate its effectiveness to enhance traceability within pharmaceutical supply chains. 

by Prof. Sunil Khatal | Miss. Divya Naikwadi | Prof. Monika Rokade "High Dimensional Health Care Privacy Approach Using Blockchain Technology with Emergency Medicine Tracking System Using Healthcare Supply Chain" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd47555.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47555/high-dimensional-health-care-privacy-approach-using-blockchain-technology-with-emergency-medicine-tracking-system-using-healthcare-supply-chain/prof-sunil-khatal

internationaljournalsinengineering, callforpaperengineering, ugcapprovedengineeringjournal 

Computers are becoming ubiquitous and are playing significant roles in our lives. Domestic digital devices for leisure and entertainment are becoming increasingly important. To be usable, every computing device must allow for some form of interaction with its user. The human computer interaction is the point of communication between the human user and the computer. AI has been gradually being incorporated into human computer interaction HCI . As AI systems become more and more ubiquitous, it is imperative to understand those systems from a human perspective. This paper provides an introduction to the “marriage” between HCI and AI. 

by Matthew N. O. Sadiku | Uwakwe C. Chukwu | Abayomi Ajayi-Majebi | Sarhan M. Musa "Artificial Intelligence and Human-Computer Interaction" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd47491.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47491/artificial-intelligence-and-humancomputer-interaction/matthew-n-o-sadiku

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In the present generation, healthcare has become the foremost imperative sector in todays medicinal eon. The massive private documents, responsive details are kept in a scalable manner. The healthcare industry has become more competitive in the digital world. As a thriving industry, its challenging for doctors to understand the moving technology in the healthcare sector. This also deals with the patient's nursing and maintains their portfolios. The overview of the project depicts a role played by the doctors, patients, management, and resource suppliers by implementing cloud technology in the healthcare industry. The platform was designed and developed for user friendly interactions where patients can connect with the management and doctors at any corner of the world. The peculiarity of the project was to withdraw the pen paper method followed by the sector for ages. Cloud computing CC has played a vital role in the project that helped and managed to store, secure large data files. The features while operating the system were QR codes, generating e mails, SMS text, and free trunk calls. This approach assists on track with each individuals health related documents, henceforward approving with the doctors to access the knowledge throughout the flow of emergency and firmly access policy. Besides the facts, it rescues the lifetime of the patients and mutually helps the doctors figure it out comfortably. The utilization of mobile aid applications may be a dynamic field and has received the attention of late. This development provides mobile technology additional enticing for mobile health m health applications. The m health defines as wireless telemedicine involving the utilization of mobile telecommunications and multimedia system technologies and their integration with mobile health care delivery systems. As well as human authentication protocols, whereas guaranteeing, has not been straightforward in light weight of their restricted capability of calculation and remembrance. 

by Ms. Rohini Kulkarni | Pratibha Gayke "Transforming Healthcare Industry by Implementing Cloud Computing" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46455.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/46455/transforming-healthcare-industry-by-implementing-cloud-computing/ms-rohini-kulkarni

internationaljournalofmanagement, callforpapermanagement, managementjournal 

The paper presents a model Virtual Reality framework for learning of activity in a clever industrial facility, working as per the idea of Industry 4.0. The Smart Factory lab—illustration of some portion of savvy processing plant—is depicted. The VR model framework and cycle of its structure is additionally introduced, beginning from digitalization of the genuine brilliant plant, through rationale programming also, association of fringe VR gadgets. Elements of the preparation framework are introduced, alongside bearings of future investigations and advancement. 

by Akash Parmar | Mohit Singh Tomar | Dr. Ritu Shivastava "Virtual Reality Training in Smart Factory: A Perspective View" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd47482.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47482/virtual-reality-training-in-smart-factory-a-perspective-view/akash-parmar

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience 

The opinion of disease is important for Covid 19 as the antigen kit and RTPCR are unperfect and should be better for diagnosing such disease. Real Time Return Transcription real time converse transcription - polymerase chain . Healthcare practices include the collection of various sorts of patient data to help the physician diagnose the patients health. These data could be simple symptoms, first diagnosis by a doctor, or an in depth laboratory test. These data are therefore used for analyses only by a doctor, who subsequently uses his particular medical skills to found the ailment. In order to classify Covid 19 disease datasets such mild, middle and severe diseases, the proposed model utilizes the notion of controlled machine education and GWO optimization to regulate if the patient is affecting or not. An efficiency analysis is calculated and compared of disease data for both algorithms. The results of the simulations illustrate the effective nature and complexity of the data set for the grading techniques. Compared to SVM, the suggested model provides 7.8 percent improved prediction accuracy. The prediction accuracy is 8 better than the SVM. This results in an F1 score of 2 percent better than an SVM forecast. 

by Swati Shilpi | Dr. Damodar Prasad Tiwari "Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid-19 Pandemic Crisis" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46400.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/46400/health-risk-prediction-using-support-vector-machine-with-gray-wolf-optimization-in-covid19-pandemic-crisis/swati-shilpi

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